Results 131 to 140 of about 13,926 (236)

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, Volume 13, Issue 43, 3 August 2026.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Spatio-temporal epidemic forecasting with graph-based transformer. [PDF]

Int J Health Geogr
Ezzat M, Malek YM, AbdelKader T, Badr N.
europepmc   +1 more source

Reverse Weak Polarity‐Induced Ordered Layer Control for Enhanced Second‐Harmonic Generation in Ultraviolet Nonlinear Optical Crystals

Advanced Science, Volume 13, Issue 43, 3 August 2026.
Reverse Weak Polarity‐Induced Ordered Layer Control strategy, optimizing the design of layered structures, has been successfully designed. By leveraging inhomogeneous field of units to replace isotropic fields of metal cations, polar layers realize controllable layer stacking via a “layer→linker→layer” polarity transfer.
Lingli Wu, Chensheng Lin, Bing‐Xuan Li, Huixin Fan, Lingfei Lv, Shunda Yang, Tao Yan, Min Luo   +7 more
wiley   +1 more source

The genetic and clinical characteristics of oculopharyngeal muscular dystrophy patients in Israel. [PDF]

Orphanet J Rare Dis
Ben-David M, Greenbaum L, Nikitn V, Zvulunov A, Charas H, Divon N, Barkan T, Chorin O, Reznik-Wolf H, Zloto O, Benyamini L, Shelly S, Dori A.   +12 more
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, Volume 13, Issue 44, 7 August 2026.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

A multimodal spatio-temporal graph neural network framework for fatigue detection in tennis serving. [PDF]

Front Bioeng Biotechnol
Yuan Y, Wang L, Jia H, Jiao J.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Synechocystis sp. PCC 6803 shows high cell cycle dynamics reflected by an extraordinary genome copy number variation. [PDF]

Microb Cell Fact
Till J, López-Gálvez J, Schattenberg F, Schmidt M, Müller S, Toepel J, Bühler B.   +6 more
europepmc   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Structurally tuned g-C₃N₄ nanosheets via thermal exfoliation for superior photocatalytic oxidative degradation of industrial food dye pollutants. [PDF]

Discov Nano
Sunil S, Mandal BK, Latha S.
europepmc   +1 more source